Skip to main content

pyAFQ: Automated Fiber Quantification ... in Python

Project description

pyAFQ

Automated Fiber Quantification ... in Python.

For details, see Documentation

For further analysis of results, see AFQ-Insight

Citing pyAFQ

If you use pyAFQ in a scientific publication, please cite our paper:

Kruper, J., Yeatman, J. D., Richie-Halford, A., Bloom, D., Grotheer, M., Caffarra, S., Kiar, G., Karipidis, I. I., Roy, E., Chandio, B. Q., Garyfallidis, E., & Rokem, A. Evaluating the Reliability of Human Brain White Matter Tractometry. DOI:10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669

@article {Kruper2021-xb,
  title     = "Evaluating the reliability of human brain white matter
               tractometry",
  author    = "Kruper, John and Yeatman, Jason D and Richie-Halford, Adam and
               Bloom, David and Grotheer, Mareike and Caffarra, Sendy and Kiar,
               Gregory and Karipidis, Iliana I and Roy, Ethan and Chandio,
               Bramsh Q and Garyfallidis, Eleftherios and Rokem, Ariel",
  journal   = "Apert Neuro",
  publisher = "Organization for Human Brain Mapping",
  volume    =  1,
  number    =  1,
  month     =  nov,
  year      =  2021,
  doi       =  10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669,
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyafq-1.3.2.tar.gz (1.5 MB view hashes)

Uploaded Source

Built Distribution

pyAFQ-1.3.2-py3-none-any.whl (293.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page